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A simulation study on demand disruptions and limited resources for healthcare provision

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Author(s)

Juliana Kuster Filipe Bowles, Ricardo Czekster, Guilherme Alfredo Redeker, Thais Webber

School/Research organisations

Abstract

Philanthropic hospitals in Brazil are in great part funded by the government and are daily accessed by a large portion of the population. As the Brazilian economy faces deep cuts in healthcare, managers are adjusting budgets and focusing on less expensive alternatives such as process improvements. Hospitals are even more impacted by the recent COVID-19 pandemic with widespread disruption on operational processes forcing them to stretch resources. Thus, it brings an opportunity to evaluate the actual performance of these settings under different scenarios where analysts may address bottlenecks and the impact on resources. Our focus is to quantify the capacity of an emergency department to support patient demand with limited resources in pre and post-pandemic scenarios. We use a 12-month longitudinal dataset consisting of pre-pandemic emergency occurrences and assigned resources.
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Details

Original languageEnglish
Title of host publicationFrom Data to Models and Back
Subtitle of host publication9th International Symposium, DataMod 2020, Virtual Event, October 20, 2020, Revised Selected Papers
EditorsJuliana Bowles, Giovanna Broccia, Mirco Nanni
Place of PublicationCham
PublisherSpringer
Pages87-103
Number of pages17
ISBN (Electronic)9783030706500
ISBN (Print)9783030706494
DOIs
Publication statusPublished - 2021

Publication series

NameLecture Notes in Computer Science
Volume12611
ISSN (Print)0302-9743

    Research areas

  • Healthcare processes, Emergency demand, Process simulation, COVID-19

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